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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,488 datasets
YOLO models are a collection of pre-trained neural network weights for the YOLO (You Only Look Once) object detection architecture. The dataset is hosted on Kaggle, a platform for data science and machine learning projects. The specific version, author, and update history are not provided in the metadata.
A dataset from Kaggle, likely containing test images or results for evaluating YOLO (You Only Look Once) object detection models. The dataset's specific content, size, and creation details are not provided in the metadata. It is categorized as a 'Pre Trained Model' resource on the platform.
Kaggle hosts a dataset titled 'yolov11_gray_color_stamp'. The dataset likely contains images for training or benchmarking object detection models, specifically related to the YOLOv11 architecture. Its specific content, scale, and origin require verification after download.
A pre-trained ResNet101 model, likely containing optimized weights for image classification tasks. The dataset is hosted on Kaggle under the 'Pre Trained Model' tag. Specific details on the training data, architecture modifications, and performance metrics are unavailable from the provided metadata.
Kaggle hosts a pre-trained ResNet34 model, a 34-layer deep convolutional neural network architecture. The dataset likely contains the model weights and configuration files necessary for transfer learning. Its specific source, training data, and version details are not provided in the metadata.
A dataset titled 'yolo_juan' is hosted on Kaggle. The dataset's content and scale are not described in the provided metadata. Its specific purpose, origin, and size require verification after download.
MiniImageNet is a widely used benchmark dataset for few-shot image classification tasks. The dataset appears to provide stratified splits for training and validation sets, likely derived from the original ImageNet collection. It is hosted on Kaggle, but the original author, specific size, and license details are not provided in the metadata.
A pre-trained Convolutional Neural Network model, likely for image classification or feature extraction, is hosted on Kaggle. The title suggests it is version 24.1, indicating potential iterative development. Its specific architecture, training data, and performance metrics are not detailed in the available metadata.
A collection of image embeddings generated by a Convolutional Neural Network (CNN), likely from the DHBK_HB dataset. The dataset is published on Kaggle, but specific details on the number of samples, source images, and creation date are not provided in the metadata. The version number 'v24.1' suggests it is part of an iterative series of releases.
Drone YOLOv9 Ghost Dataset is a computer vision dataset hosted on Kaggle. The dataset likely contains images for training or benchmarking the YOLOv9 Ghost object detection model. Its specific contents, size, and origin require verification after download.
HGI_30 is a dataset published on Kaggle. The title suggests it contains images with labels generated automatically using the YOLO (You Only Look Once) object detection framework. The dataset's specific content, size, and origin require verification after download.
A dataset titled 'NanoTech Feasta 2.0' is hosted on Kaggle. The data is organized by the IEEE Nanotechnology Council (NTC). The dataset's specific content, size, and structure are not detailed in the provided metadata.
Preprocessed_data_vgg16_30k is a dataset of 30,000 images formatted for use with the VGG16 convolutional neural network architecture. It was published on Kaggle, but the author, organization, and specific source of the images are unknown. The last update date and detailed column information are also not provided.
prepared_data_resnet50_30k is a dataset hosted on Kaggle. The title suggests it contains 30,000 data points, likely images, preprocessed for use with the ResNet50 convolutional neural network architecture. The author, organization, and specific source of the data are unknown.
yolo_classifier is a dataset hosted on Kaggle. The dataset's title suggests it is intended for training or evaluating YOLO (You Only Look Once) object detection models. The specific content, scale, and origin are not detailed in the provided metadata.
CNN-Custom-Result is a dataset published on Kaggle. The title suggests it contains results or outputs generated by a custom Convolutional Neural Network. The dataset's specific content, scale, and origin are not detailed in the available metadata.
A dataset named BIGANN 100M, published on Kaggle. The title suggests it contains 100 million data points, likely related to computer vision. The specific content, source, and creation date are unknown from the provided metadata.
SegResNet is a state-of-the-art model architecture for medical image segmentation. This dataset likely contains the pre-trained weights for a SegResNet model, as sourced from Kaggle. The specific training data, performance metrics, and version details are not provided in the metadata.
dhbk_hb_model cnn gei 255 v24.2 is a pre-trained Convolutional Neural Network model hosted on Kaggle. The dataset likely contains model weights and architecture files for use in computer vision tasks. Specific details on the model's training data, performance, and intended application are not provided in the available metadata.
A pre-trained Convolutional Neural Network model, version 24.2, hosted on Kaggle. The title suggests it is likely intended for image classification or feature extraction tasks. Specific details on architecture, training data, and performance are not provided in the metadata.